Difference between revisions of "CSE 7300 Research Seminar"

From Cyber-Physical Systems Laboratory
Jump to navigationJump to search
 
(167 intermediate revisions by 7 users not shown)
Line 3: Line 3:
 
  |}
 
  |}
  
 +
* '''Theme: AI for Health'''
 
* '''Instructor''': [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
 
* '''Instructor''': [http://www.cse.wustl.edu/~lu Prof. Chenyang Lu]
−
* '''Semester''': '''Spring 2021'''
+
* '''Semester''': '''Fall 2024'''
−
* '''Time''': Thursday at 4pm-4:50pm
+
* '''Time''': Wednesday at 1 PM
−
* '''Location''': Virtual
+
* '''Location''': McKelvey 1030
−
 
+
* '''[http://www.cse.wustl.edu/~lu/talks/seminar_guidelines.pdf Guidelines]''':
−
 
+
* '''Recommended sources:''' NeurIPS ([http://nips.cc/]), ICML ([http://icml.cc/]), AAAI ([http://www.aaai.org/]), SIGKDD ([http://www.kdd.org/]), IJCAI ([http://www.ijcai.org/]), IMWUT ([http://dl.acm.org/journal/imwut]), HEALTH ([http://dl.acm.org/journal/health]), Digital Medicine ([http://www.nature.com/npjdigitalmed/]), Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201]), NEJM AI ([https://ai.nejm.org/])
−
=== ---ML for Health ---===
 
−
 
 
−
* NeurIPS ([http://nips.cc/])
 
−
* ICML ([http://icml.cc/])
 
−
* AAAI ([http://www.aaai.org/])
 
−
* SIGKDD ([http://www.kdd.org/])
 
−
* IJCAI ([http://www.ijcai.org/])
 
−
* IMWUT ([http://dl.acm.org/journal/imwut])
 
−
* Digital Medicine ([http://www.nature.com/npjdigitalmed/])
 
−
* HEALTH ([http://dl.acm.org/journal/health])
 
−
* Lancet Digital Health ([https://www.thelancet.com/journals/landig/issues#decade=loi_decade_201])
 
−
 
 
−
=== ---Cyber Physical Systems ---===
 
−
 
 
−
* SenSys ([http://sensys.acm.org])
 
−
* IPSN ([http://ipsn.acm.org])
 
−
* RTSS ([http://www.rtss.org/])
 
−
* RTAS ([http://www.rtas.org/])
 
−
* ICCPS ([http://www.iccps.org])
 
−
* MobiCom ([https://sigmobile.org/mobicom/2019/])
 
−
* MobiSys ([http://www.sigmobile.org/mobisys/2019/])
 
−
* Sigcomm ([http://conferences.sigcomm.org/sigcomm/2019/])
 
−
* NSDI ([https://www.usenix.org/conference/nsdi19])
 
−
* SOSP ([https://www.sigops.org/])
 
−
* OSDI ([https://www.usenix.org/conference/osdi18/])
 
  
 
==Presentation Schedule==
 
==Presentation Schedule==
  
−
=== Feb 04 ===
+
=== ---Sep 11 ---===
−
Bing
+
Ziqi
−
 
 
−
Mattei, Pierre-Alexandre, and Jes Frellsen. "MIWAE: Deep generative modelling and imputation of incomplete data sets." International Conference on Machine Learning. PMLR, 2019.[http://proceedings.mlr.press/v97/mattei19a.html]
 
−
 
 
−
Wang, Yuhao, et al. "Causal discovery from incomplete data: a deep learning approach." arXiv preprint arXiv:2001.05343 (2020).[https://arxiv.org/pdf/2001.05343.pdf]
 
−
 
 
−
=== Feb 11 ===
 
−
Ruiqi
 
−
 
 
−
Luyang Liu, Hongyu Li, and Marco Gruteser. 2019. Edge Assisted Real-time Object Detection for Mobile Augmented Reality. The 25th Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery, New York, NY, USA, Article 25, 1–16. [https://dl.acm.org/doi/pdf/10.1145/3300061.3300116]
 
−
 
 
−
=== Feb 18 ===
 
−
Jingwen
 
−
 
 
−
Daniş, F. Serhan, and Ali Taylan Cemgil. "Model-based localization and tracking using bluetooth low-energy beacons." Sensors 17.11 (2017): 2484. [https://www.mdpi.com/1424-8220/17/11/2484/htm]
 
−
 
 
−
=== Feb 25 ===
 
−
Kriti
 
−
 
 
−
Nguyen Tuan A , Jeong Hyewon, Yang Eunho  , Hwang Sung Ju. Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. Association for the Advancement of Artificial Intelligence. 2021 [https://arxiv.org/pdf/2006.12777.pdf ]
 
  
−
=== Mar 04 ===
+
Gawlikowski, J., Tassi, C.R.N., Ali, M. et al. A survey of uncertainty in deep neural networks. Artif Intell Rev 56 (Suppl 1), 1513–1589 (2023). [https://doi.org/10.1007/s10462-023-10562-9]
−
Soumyendu
 
  
−
Maximilian Ilse, Jakub M. Tomczak, and Max Welling, Attention-based Deep Multiple Instance Learning, ICML 2018. https://arxiv.org/abs/1802.04712
+
=== ---Sep 18 ---===
 +
Daoyi
  
−
=== Mar 11 ===
+
Hüyük, A., Wei, Q., Curth, A. and van der Schaar, M., 2024. Defining Expertise: Applications to Treatment Effect Estimation. arXiv preprint arXiv:2403.00694. [https://openreview.net/pdf?id=1YPfmglNRU]
−
Hanyang
 
  
−
He, Yong, et al. "Attention and Memory-Augmented Networks for Dual-View Sequential Learning." Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020. https://dl.acm.org/doi/pdf/10.1145/3394486.3403055
+
=== ---Sep 25 ---===
 +
Jason
  
−
=== Mar 18 ===
+
=== ---Oct 02 ---===
−
Sayantan
+
Ben
  
−
Xiao Zhang, Dejing Dou, and Ji Wu, Learning Conceptual-Contextual Embeddings for Medical Text, AAAI Conference on Artificial Intelligence (AAAI-20), 2020. https://ojs.aaai.org/index.php/AAAI/article/view/6504/6360
+
=== ---Oct 09 ---===
 +
Claire
  
−
=== Mar 25 ===
+
=== ---Oct 16 ---===
−
Guanghui
+
Wenyu
  
−
Mate, Aditya, et al. "Collapsing Bandits and Their Application to Public Health Intervention." Advances in Neural Information Processing Systems 33 (2020). https://arxiv.org/pdf/2007.04432.pdf
+
=== ---Oct 23 ---===
 +
Di
  
−
=== Apr 01 ===
+
=== ---Oct 30 ---===
−
Dingwen
+
Behrooz
  
−
J. Luo, et al. HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. KDD'20. https://dl.acm.org/doi/pdf/10.1145/3394486.3403107
+
=== ---Nov 06 ---===
 +
Prince
  
−
=== Apr 08 ===
+
=== ---Nov 13 ---===
−
Ruixuan
+
Zichen
−
Harutyunyan, Hrayr, et al. "Multitask learning and benchmarking with clinical time series data." Scientific data 6.1 (2019): 1-18.[https://www.nature.com/articles/s41597-019-0103-9]
 
  
−
=== Apr 15 ===
+
=== ---Nov 20 ---===
−
Jingwen
+
Peiqi
  
−
=== Apr 22 ===
+
=== ---Nov 27 ---===
−
Ruiqi
+
Thanksgiving
  
−
=== Apr 29 ===
 
−
Bing
 
  
 
==Previous Semesters==
 
==Previous Semesters==
 +
* [[Seminar Spring 2024|Spring 2024]]
 +
* [[Seminar Fall 2023|Fall 2023]]
 +
* [[Seminar Spring 2023|Spring 2023]]
 +
* [[Seminar Fall 2022|Fall 2022]]
 +
* [[Seminar Summer 2022|Summer 2022]]
 +
* [[Seminar Spring 2022|Spring 2022]]
 +
* [[Seminar Fall 2021|Fall 2021]]
 +
* [[Seminar Summer 2021|Summer 2021]]
 +
* [[Seminar Spring 2021|Spring 2021]]
 
* [[Seminar Fall 2020|Fall 2020]]
 
* [[Seminar Fall 2020|Fall 2020]]
 +
* [[Seminar Summer 2020|Summer 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Spring 2020|Spring 2020]]
 
* [[Seminar Fall 2019|Fall 2019]]
 
* [[Seminar Fall 2019|Fall 2019]]

Latest revision as of 19:06, 18 September 2024

  • Theme: AI for Health
  • Instructor: Prof. Chenyang Lu
  • Semester: Fall 2024
  • Time: Wednesday at 1 PM
  • Location: McKelvey 1030
  • Guidelines:
  • Recommended sources: NeurIPS ([1]), ICML ([2]), AAAI ([3]), SIGKDD ([4]), IJCAI ([5]), IMWUT ([6]), HEALTH ([7]), Digital Medicine ([8]), Lancet Digital Health ([9]), NEJM AI ([10])

Presentation Schedule

---Sep 11 ---

Ziqi

Gawlikowski, J., Tassi, C.R.N., Ali, M. et al. A survey of uncertainty in deep neural networks. Artif Intell Rev 56 (Suppl 1), 1513–1589 (2023). [11]

---Sep 18 ---

Daoyi

Hüyük, A., Wei, Q., Curth, A. and van der Schaar, M., 2024. Defining Expertise: Applications to Treatment Effect Estimation. arXiv preprint arXiv:2403.00694. [12]

---Sep 25 ---

Jason

---Oct 02 ---

Ben

---Oct 09 ---

Claire

---Oct 16 ---

Wenyu

---Oct 23 ---

Di

---Oct 30 ---

Behrooz

---Nov 06 ---

Prince

---Nov 13 ---

Zichen

---Nov 20 ---

Peiqi

---Nov 27 ---

Thanksgiving


Previous Semesters

Previous Lab Meetings

Retrieved from "http://wsn.cse.wustl.edu/index.php?title=CSE_7300_Research_Seminar&oldid=5386"